Abstract: Video classification typically requires large labeled datasets which are costly and time-consuming to obtain. This paper proposes a novel Active Learning (AL) framework to improve video ...

Chinese AI developer DeepSeek claims its R1 model training costs were significantly lower than U.S. competitors, sparking debate on China's AI capabilities. A Nature article revealed R1's $294,000 ...

DeepSeek found that it could improve the reasoning and outputs of its model simply by incentivizing it to perform a trial-and ...

Researchers have used a deep learning model to predict who is most at risk of Spaceflight Associated Neuro-Ocular Syndrome ...

The intersection of artificial intelligence governance and practical machine learning implementation represents one of the most critical challenges facing modern enterprises. This reality became ...

Getting Started With Deep Practice Deep practice, according to Psychology Today, is a method of learning new skills designed ...

Raw invoice images often suffer from issues such as uneven lighting, skewing, creases, and background interference. The system first employs image filtering, binarization, perspective transformation ...

A research team has developed an innovative automated method, SSP-MambaNet, designed to address the challenge of identifying and counting missing virus-free strawberry seedlings in nutrient pots ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Researchers have developed a method that combines AFM and AI to accurately profile macrophage mechanophenotypes.

A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

When we think of deep cleaning, our mind usually goes to spring for that typical spring cleaning. But doctors say there are major benefits in fall cleaning. Comedian’s arrest over social media posts ...